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Background: Medically vulnerable individuals are at increased risk of acquiring multidrug-resistant Enterobacterales (MDR-E) infections. People with HIV (PWH) experience a greater burden of comorbidities and may be more susceptible to MDR-E due to HIV-specific factors. Methods: We performed an observational study of PWH participating in an HIV clinical cohort and engaged in care at a tertiary care center in the Southeastern United States from 2000 to 2018. We evaluated demographic and clinical predictors of MDR-E by estimating prevalence ratios (PRs) and employing machine learning classification algorithms. In addition, we created a predictive model to estimate risk of MDR-E among PWH using a machine learning approach. Results: Among 4734 study participants, MDR-E was isolated from 1.6% (95% CI, 1.2%-2.1%). In unadjusted analyses, MDR-E was strongly associated with nadir CD4 cell count ≤200 cells/mm3 (PR, 4.0; 95% CI, 2.3-7.4), history of an AIDS-defining clinical condition (PR, 3.7; 95% CI, 2.3-6.2), and hospital admission in the prior 12 months (PR, 5.0; 95% CI, 3.2-7.9). With all variables included in machine learning algorithms, the most important clinical predictors of MDR-E were hospitalization, history of renal disease, history of an AIDS-defining clinical condition, CD4 cell count nadir ≤200 cells/mm3, and current CD4 cell count 201-500 cells/mm3. Female gender was the most important demographic predictor. Conclusions: PWH are at risk for MDR-E infection due to HIV-specific factors, in addition to established risk factors. Early HIV diagnosis, linkage to care, and antiretroviral therapy to prevent immunosuppression, comorbidities, and coinfections protect against antimicrobial-resistant bacterial infections.

Background: Multidrug-resistant Enterobacterales (MDR-E) are important pathogens. People living with human immunodeficiency virus (HIV; PLWH) may be at greater risk for MDR-E infection given relatively high antibiotic exposure and burden of comorbidities. Methods: We analyzed data from 36 521 patients in a healthcare system in North Carolina who had a clinical culture with growth of an Enterobacterales species from 2000 to 2018; 440 were PLWH. We used generalized linear models to estimate prevalence ratios and differences, contrasting PLWH and people not living with HIV (PNLWH) for resistance to individual antibiotic classes, as well as MDR-E. We assessed trends in prevalence over time by calculating the 5-year moving average and fitting restricted cubic spline models. Results: The overall prevalence of MDR-E was higher among PLWH (21.5%; 95% confidence interval [CI], 18.2%-25.1%) vs PNLWH (16.5%; 95% CI, 16.2%-16.9%), with an adjusted prevalence ratio of 1.38 (95% CI, 1.14-1.65). PLWH had higher rates of antimicrobial resistance than PNLWH for all antibiotic classes analyzed, including penicillins, penicillin/beta lactamase inhibitor combinations, and sulfonamides. MDR-E prevalence was 3 to 10 percentage points higher among PLWH than PNLWH throughout the study period based on the 5-year moving average. Conclusions: In a large clinical study population in the southeastern United States from 2000 to 2018, the prevalence of antibacterial resistance among Enterobacterales was consistently higher among PLWH than PNLWH. These data highlight the importance of identifying and mitigating the factors that contribute to antimicrobial resistance in PLWH, given the potential clinical consequences of these resistant pathogens.